Understanding Urban Expansion and Its Landscape Responses with Long-Term Landsat Data in Guangzhou, China
暂无分享,去创建一个
[1] Youjun Chen,et al. Impacts of urban landscape patterns on urban thermal variations in Guangzhou, China , 2017, Int. J. Appl. Earth Obs. Geoinformation.
[2] Shixiao Yu,et al. Assessment of urban growth in Guangzhou using multi-temporal, multi-sensor Landsat data to quantify and map impervious surfaces , 2016 .
[3] Jinlong Gao,et al. Growth Type and Functional Trajectories: An Empirical Study of Urban Expansion in Nanjing, China , 2016, PloS one.
[4] Y. Wei,et al. Urban Land Expansion and Structural Change in the Yangtze River Delta, China , 2015 .
[5] Jianguo Wu,et al. Comparing urbanization patterns in Guangzhou of China and Phoenix of the USA: The influences of roads and rivers , 2015 .
[6] E. Borer,et al. Anthropogenic environmental changes affect ecosystem stability via biodiversity , 2015, Science.
[7] K. Gaston,et al. Reframing landscape fragmentation's effects on ecosystem services. , 2015, Trends in ecology & evolution.
[8] Shuqing Zhao,et al. A comparative study of urban expansion in Beijing, Tianjin and Shijiazhuang over the past three decades , 2015 .
[9] Ayyoob Sharifi,et al. Can master planning control and regulate urban growth in Vientiane, Laos? , 2014 .
[10] N. Coops,et al. Satellites: Make Earth observations open access , 2014, Nature.
[11] Martha C. Anderson,et al. Landsat-8: Science and Product Vision for Terrestrial Global Change Research , 2014 .
[12] M. Fu,et al. Assessment of landscape patterns affecting land surface temperature in different biophysical gradients in Shenzhen, China , 2013, Urban Ecosystems.
[13] Xianguo Lu,et al. Characterizing the spatial pattern of marshlands in the Sanjiang Plain, Northeast China , 2013 .
[14] Cheng Sun,et al. Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[15] P. Villa. Mapping urban growth using Soil and Vegetation Index and Landsat data: The Milan (Italy) city area case study , 2012 .
[16] Hong Ye,et al. The Impacts of Rapid Urbanization on the Thermal Environment: A Remote Sensing Study of Guangzhou, South China , 2012, Remote. Sens..
[17] T. Esch,et al. Monitoring urbanization in mega cities from space , 2012 .
[18] K. Seto,et al. A Meta-Analysis of Global Urban Land Expansion , 2011, PloS one.
[19] Dengsheng Lu,et al. Detection of impervious surface change with multitemporal Landsat images in an urban-rural frontier. , 2011, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.
[20] M. Alberti. Maintaining ecological integrity and sustaining ecosystem function in urban areas , 2010 .
[21] J. Qi,et al. Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization , 2009 .
[22] M. Canty,et al. Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation , 2008 .
[23] N. Grimm,et al. Global Change and the Ecology of Cities , 2008, Science.
[24] Scott L. Powell,et al. Quantification of impervious surface in the Snohomish Water Resources Inventory Area of Western Washington from 1972–2006 , 2007 .
[25] S. An,et al. The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China , 2007, Landscape Ecology.
[26] Conghe Song,et al. Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon , 2006 .
[27] Anthony Gar-On Yeh,et al. Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS , 2004 .
[28] M. Canty,et al. Automatic radiometric normalization of multitemporal satellite imagery , 2004 .
[29] Christiane Weber,et al. Urbanization pressure and modeling of urban growth: example of the Tunis Metropolitan Area , 2003 .
[30] C. Woodcock,et al. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .
[31] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[32] Brendan Williams,et al. Projecting alternative urban growth patterns: The development and application of a remote sensing assisted calibration framework for the Greater Dublin Area , 2016 .
[33] Xiaoling Chen,et al. Four decades of winter wetland changes in Poyang Lake based on Landsat observations between 1973 and 2013 , 2015 .
[34] Shixiao Yu,et al. Monitoring urban expansion and its effects on land use and land cover changes in Guangzhou city, China , 2015, Environmental Monitoring and Assessment.
[35] M. McKinney,et al. Urbanization as a major cause of biotic homogenization , 2006 .
[36] M. Bauer,et al. Photogrammetric Engineering & Remote Sensing Comparison of Spectral Analysis Techniques for Impervious Surface Estimation Using Landsat Imagery , 2022 .